摘要
由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据NewsRx记者在中国人民共和国上海的新闻报道，研究表明：“我们将机器学习技术应用于未来轻子对撞机上E(+)E(-)->W+W-过程的有效场理论分析，并展示了它们与传统方法相比的优势，如最佳观测值。”本研究的资助者包括中国国家自然科学基金(NSFC)，美国能源部(DOE)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating in Shanghai, People’s R epublic of China, by NewsRx journalists, research stated, “We apply machine-lear ning techniques to the effective-field-theory analysis of the e(+)e(-) -> W+W- processes at future lepton colliders, and demonstrate their advantages in comparison with conventional methods, such as optimal observables.” Funders for this research include National Natural Science Foundation of China ( NSFC), United States Department of Energy (DOE).
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